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Remote ML/AI lead role but small employer and senior level reduces applicant density.
Strong healthcare RCM and enterprise integration requirements make background fit highly domain-specific.
Explicit 7–15 years plus many mandatory ML, backend, orchestration, and cloud skills.
Lead architecture and development of AI-driven automation platforms, focusing on scalable Python backend services and workflow orchestration using Temporal or equivalent.
Design and implement AI Agent frameworks and integrate LLMs (Amazon Bedrock/OpenAI/Azure OpenAI) into healthcare workflows across Revenue Cycle Management (RCM) and related processes.
Mentor and lead engineering teams, implement AI Ops practices including monitoring, observability, model lifecycle management, and support production-grade full stack AI applications.
7 to 15 years of experience in AI automation or related engineering roles.
Expertise in Python backend development with frameworks such as FastAPI, Flask or Django.
Experience with workflow orchestration tools (preferably Temporal) and AI agent frameworks involving LLM integration.
Working mode: Remote with monthly 5 days work from Madurai, Tamil Nadu; Shift: 2:00 PM to 11:30 PM IST.
Experienced in building enterprise AI automation platforms within healthcare domain, specifically RCM, claims, eligibility, and provider/payer workflows.
Strong skills in designing scalable distributed backend systems and integration of AI with enterprise applications.
Leadership experience in technical mentorship, code review, and delivering production-grade full stack AI applications in cloud environments (preferably AWS).